High-density natural active sites for efficient nitrogen reduction on Kagome surfaces promoted by flat bands

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Yuyuan Huang, Yanru Chen, Shunhong Zhang, Zhenyu Zhang, Ping Cui
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Abstract

Recent studies have shown that single- or few-atom catalysts, with local states near the Fermi level, can promote nitrogen activation and the entire electrocatalytic nitrogen reduction reaction (eNRR) process, but are facing limitations in loading densities and stability. Here, we conceptualize that the Kagome metals featuring naturally abundant surface sites and flat bands are promising candidates to catalyze eNRR. Using first-principles calculations, we first show that the Kagome termination of the prototypical FeSn is accompanied by the presence of flat bands from the Fe-d and dxz/dyz orbitals, and the exposed surface can strongly chemisorb N2 with an adsorption energy of ~−0.7 eV. The limiting potential of 0.31 V indicates superior eNRR catalytic activity. The mutual independence between neighboring reactive sites also ensures an exceptionally high 25% atomic utilization within the Kagome layer, with each active site possessing high selectivity of eNRR. Our detailed analysis further reveals the critical role of the flat bands in boosting catalytic activity, which is also generalized to the isostructural CoSn and FeGe Kagome systems. Collectively, this work not only enhances the functionalities of Kagome materials for applications but also integrates flat band physics with single-atom catalysis, offering new opportunities in catalyst design.

Abstract Image

高密度的天然活性位点,在Kagome表面上通过平带促进氮的有效还原
近年来的研究表明,局部态接近费米能级的单原子或少原子催化剂可以促进氮的活化和整个电催化氮还原反应(eNRR)过程,但在负载密度和稳定性方面存在局限性。在这里,我们认为Kagome金属具有天然丰富的表面位点和平坦带,是催化eNRR的有希望的候选者。利用第一性原理计算,我们首先证明了原型FeSn的Kagome终止伴随着Fe-dz²和dxz/dyz轨道的平坦带的存在,并且暴露的表面可以强烈化学吸附N2,吸附能为~−0.7 eV。极限电位为0.31 V,表明eNRR的催化活性较好。相邻活性位点之间的相互独立性也确保了Kagome层内异常高的25%的原子利用率,每个活性位点都具有高的eNRR选择性。我们的详细分析进一步揭示了平带在提高催化活性方面的关键作用,这也推广到同质结构的CoSn和FeGe Kagome体系。总的来说,这项工作不仅增强了Kagome材料的应用功能,而且将平带物理与单原子催化相结合,为催化剂设计提供了新的机会。
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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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